Evidence map›Paper›PMID 39212344›Full record

ArticleChemphyschem : a European journal of chemical physics and physical chemistry2024

Assignment of a Physical Energy Scale for the Dimensionless Interaction Energies within the PRIME20 Peptide Model.

Thomas Kunze, Christian Lauer, Christian Dreßler, Daniel Sebastiani

Abstract read
In one paragraph

Article in Chemphyschem : a European journal of chemical physics and physical chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Assignment of a Physical Energy Scale for the Dimensionless Interaction Energies within the PRIME20 Peptide Model.Chemphyschem : a European journal of chemical physics and physical chemistry · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Thomas KunzeMartin-Luther University Halle-Wittenberg, Faculty of Natural Sciences II, Von-Danckelmann-Platz 4, 06120, Halle/Saale, Germany.ORCID https://orcid.org/0000-0003-3907-5475
Christian LauerMartin-Luther University Halle-Wittenberg, Faculty of Natural Sciences II, Von-Danckelmann-Platz 4, 06120, Halle/Saale, Germany.
Christian DreßlerIlmenau University of Technology, Ilmenau University of Technology, Weimarer Straße 32, 98684, Ilmenau, Germany.ORCID https://orcid.org/0000-0002-0145-1263
Daniel SebastianiMartin-Luther University Halle-Wittenberg, Faculty of Natural Sciences II, Von-Danckelmann-Platz 4, 06120, Halle/Saale, Germany.ORCID https://orcid.org/0000-0003-2240-3938

Funding

Deutsche Forschungsgemeinschaft 189853844Deutsche Forschungsgemeinschaft 320867004
6 · The paper itself

Abstract

We present a calibration scheme to determine the conversion factors from a coarse-grained stochastic approximation Monte Carlo approach using the PRIME20 peptide interaction model to atomistic force-field interaction energies at full explicit aqueous solvation. The conversion from coarse-grained to atomistic structures was performed according to our previously established inverse coarse-graining protocol. We provide a physical energy scale for both the backbone hydrogen bonding interactions and the sidechain interactions by correlating the dimensionless energy descriptors of the PRIME20 model with the energies averaged over molecular dynamics simulations. The conversion factor for these interactions turns out to be around 2 kJ/mol for the backbone interactions, and zero for the sidechain interactions. We discuss these surprisingly small values in terms of their molecular interpretation.

Indexed as

backmappingcoarse-grainedmolecular dynamics simulationsmonte carlo simulationpeptide interactionsPRIME20

Identifiers

PMID39212344
PMCPMC11648838

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.